Development and psychometric testing of the gender misconceptions of men in nursing (GEMINI) scale among nursing students

BACKGROUND

Misconceptions about men in nursing may influence recruitment and retention, further perpetuating the gender diversity imbalance in the nursing workforce. Identifying misconceptions and implementing early intervention strategies to address these deep-rooted stereotypes remain challenging but is considered critical to support students who are commencing a nursing career.

OBJECTIVE

To develop and evaluate the psychometric properties of the 'Gender Misconceptions of meN in nursIng (GEMINI) Scale.

DESIGN

Cross-sectional survey.

METHODS

Pre-registration nursing students enrolled in undergraduate nursing programs across 16 nursing institutions in Australia were surveyed from July to September 2021. The 17-item self-report GEMINI Scale measured the gender misconceptions of men in nursing.

RESULTS

Of the 1410 completed surveys, data from 683 (45%) women were used for exploratory factor analysis showing a one factor structure, while data from 727 men (47%) were used for confirmatory factor analysis of the 17-item GEMINI Scale, which showed a good model fit. The scale demonstrated high internal consistency (Cronbach's alpha of 0.892). Men were found to have higher gender misconceptions (p < 0.001) while respondents who: a) identified nursing as their first career choice (p = 0.002); b) were in their final year of program enrolment (p = 0.016); and c) engaged in health-related paid work (p = 0.002) had lower gender misconceptions.

CONCLUSION

The GEMINI Scale is a robust, valid, reliable, and easy to administer tool to assess misconceptions about men in nursing, which may potentially influence academic performance and retention. Identifying and addressing specific elements of misconceptions could inform targeted strategies to support retention and decrease attrition among these students.

IMPACT STATEMENT

Genderism harms nursing, as well as the men and women working in the profession. Recruitment and retention of men into nursing is needed to cultivate male role models and diversify the workforce, however this is impeded by negative portrayals in popular culture and misconceptions entrenched in society.

Validation of a risk prediction model for Barrett's esophagus in an Australian population

Background

Esophageal adenocarcinoma is a disease that has a high mortality rate, the only known precursor being Barrett's esophagus (BE). While screening for BE is not cost-effective at the population level, targeted screening might be beneficial. We have developed a risk prediction model to identify people with BE, and here we present the external validation of this model.

Materials and methods

A cohort study was undertaken to validate a risk prediction model for BE. Individuals with endoscopy and histopathology proven BE completed a questionnaire containing variables previously identified as risk factors for this condition. Their responses were combined with data from a population sample for analysis. Risk scores were derived for each participant. Overall performance of the risk prediction model in terms of calibration and discrimination was assessed.

Results

Scores from 95 individuals with BE and 636 individuals from the general population were analyzed. The Brier score was 0.118, suggesting reasonable overall performance. The area under the receiver operating characteristic was 0.83 (95% CI 0.78-0.87). The Hosmer-Lemeshow statistic was p=0.14. Minimizing false positives and false negatives, the model achieved a sensitivity of 74% and a specificity of 73%.

Conclusion

This study has validated a risk prediction model for BE that has a higher sensitivity than previous models.

Development of a risk prediction model for Barrett's esophagus in an Australian population

Esophageal adenocarcinoma has poor 5-year survival rates. Increased survival might be achieved with earlier treatment, but requires earlier identification of the precursor, Barrett's esophagus. Population screening is not cost effective, this may be improved by targeted screening directed at individuals more likely to have Barrett's esophagus. To develop a risk prediction tool for Barrett's esophagus, this study compared individuals with Barrett's esophagus against population controls. Participants completed a questionnaire comprising 35 questions addressing medical history, symptom history, lifestyle factors, anthropomorphic measures, and demographic details. Statistical analysis addressed differences between cases and controls, and entailed initial variable selection, checking of model assumptions, and establishing calibration and discrimination. The area under the curve (AUC) was used to assess overall accuracy. One hundred and twenty individuals with Barrett's esophagus and 235 population controls completed the questionnaire. Significant differences were identified for age, gender, reflux history, family reflux history, history of hypertension, alcoholic drinks per week, and body mass index. These were used to develop a risk prediction model. The AUC was 0.82 (95% CI 0.78-0.87). Good calibration between predicted and observed risk was noted (Hosmer-Lemeshow test P = 0.67). At the point minimizing false positives and false negatives, the model achieved a sensitivity of 84.96% and a specificity of 66%. A well-calibrated risk prediction model with good discrimination has been developed to identify patients with Barrett's esophagus. The model needs to be externally validated before consideration for clinical practice.